Govern AI for every team, every regulator, every rule
Whether you're governing a credit decisioning pipeline for an OCC examination or deploying a customer chatbot under RBI's 2024 AI circular, Zytra meets the need — by use case, by role, and by framework.
Every team has a different question. We answer all of them.
Model Risk Manager
Your SR 11-7 framework wasn't written for RAG pipelines or autonomous agents. Zytra extends MRM to cover generative AI — risk tiering, validation evidence, OSCAL exports, and a signed evidence ledger your model risk committee can present to an OCC examiner without a manual scramble.
Explore Governance →Chief Risk Officer
The board's question isn't "do we have controls?" — it's "what's our residual exposure after controls?" Zytra answers with a domain heat map: 141 AI risks measured, residual scores by domain, and a gap backlog ranked by impact. Numbers, not a policy document.
See the Risk Atlas →CISO
Meta's PromptGuard runs 96.9% false-positive rate — it flags nearly every legitimate banking query as harmful, making it undeployable in production. Aval was trained on BFSI adversarial data: 0.5% FPR, 13 FinProof attack categories (KYC & AML bypass, regulatory KPI gaming, investment advice, and more), 11.6ms. The guardrail your customers don't notice until it's the one that stopped the attack.
Explore Aval →What are you trying to do?
GenAI guardrails
Block prompt injection, jailbreaks and unsafe outputs at runtime with Aval, before anything reaches a customer.
Explore Aval →Vendor & model risk
Assess third-party models and vendors against your risk framework, with evidence captured automatically.
Talk to us →AI adoption tracking
Discover every model, agent and application, including shadow AI, in a unified governance catalog.
See the platform →Audit-readiness
Generate board-ready, benchmark-verified evidence on demand, no scramble before an audit.
Trust center →Agent monitoring
Real-time oversight of autonomous agents with drift detection, anomaly alerts and network-level controls.
Learn more →Shift governance left
Embed policy checks into CI/CD with the Zytra SDK so compliance never blocks a release.
Integrations →Pre-built compliance packs
Map your controls once, satisfy many frameworks. Each pack ships policies, assessments and automated evidence.
High-risk readiness
Art. 9–15 obligations for high-risk AI systems, GPAI requirements (Art. 53–55), and conformity assessment pathways — mapped and evidence-ready before your compliance deadline.
Govern · Map · Measure · Manage
Full crosswalk across all four NIST AI RMF functions with specific sub-practice citations. GenAI profile covered. Controls linked to named owners and test evidence.
AI management system
Operationalize an AIMS with documented, auditable processes. Mapped alongside DORA so your governance framework satisfies both ICT risk and AI management obligations simultaneously.
India banking
Clause-level alignment to RBI's 2024 AI circular: evidence trails, model governance documentation, and outsourcing controls. Pre-formatted for RBI inspection submissions.
India BFSI coverage →Capital markets
Controls for AI used in algorithmic advisory, market surveillance, and trading operations — mapped to SEBI's algo-AI oversight guidance at the clause level.
SEBI AI governance →Data protection
Data rights, consent management, and residency controls for India's DPDP Act 2023 — including AI inference pipeline obligations that no other vendor has mapped.
DPDP AI compliance guide →Not sure where to start?
Tell us your use case, your regulator, and your current maturity level — we'll map the fastest path to governed, examination-ready AI.